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The information published on these pages shows:

The number of students who attained a particular degree or other academic award, or a particular level of such an award, on completion of their course with us.

It also shows these numbers by reference to:

  • The gender of the individuals to which they relate
  • Their ethnicity
  • Their socio-economic background

The data in tables 1a and 1b have been rounded and suppressed as follows:

  • Numerators and denominators have been rounded to the nearest 10. Where the numerator or denominator rounds to 20 or less, the data will be suppressed with an 'N'.
  • Percentages will be rounded according to the smallest, unsuppressed denominator with a given mode and characteristic. If the denominator rounds to:
    • 50 or less: percentages are rounded to 5%
    • 1000 or less: percentages are rounded to 1%
    • More than 1000: percentages are rounded to 0.1%
  • 'N/A' is displayed where there is no provision in a given mode or level
  • 'DP' indicates suppression for data protection reasons. This is applied where the numerator is two or less, or differs from the denominator by no more than two students.

Applications, offers, acceptances and registrations: 2019-20 entrants

Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2019-20 qualifiers.

Characteristic

Characteristic split

Percentage

Ethnicity

BAME

70.6%

White

84.2%

EIMD 2019 quintile

1 and 2

72.8%

3 to 5

81.3%

Gender

Female

76.5%

Male

79.1%

Other

N

 

Table 1b: Detailed information on attainment for 2019-20 qualifiers.
       

Percentage of classified First Degrees awarded

   

Mode of study

Characteristic

Characteristic split

Headcount of classified First Degrees awarded

Awarded as firstclass

Awarded upper second class

Awarded as lower second class

Awarded as third class /pass

Headcount of unclassified First Degrees awarded

Headcount other undergraduate awards

Full-time

Ethnicity

Asian

1010

35%

40%

20%

5%

100

110

Black

760

20%

45%

30%

10%

50

130

Mixed

210

35%

45%

15%

5%

N

30

Other

70

35%

40%

20%

DP

N

N

White

2140

45%

40%

10%

5%

90

330

Unknown

40

35%

40%

20%

DP

N

N

EIMD 2019 quintile

1

890

25%

45%

25%

5%

70

140

2

950

35%

40%

20%

5%

70

130

3

780

40%

40%

15%

5%

40

100

4

740

45%

35%

15%

5%

40

80

5

750

45%

35%

15%

5%

30

90

N/A

70

60%

35%

5%

DP

N

N

Unknown

40

30%

40%

25%

DP

N

80

Gender

Female

2460

35.4%

41.5%

19.1%

4.0%

160

320

Male

1760

42.9%

36.7%

15.5%

4.9%

90

310

Other

N

N

N

N

N

N

N

Part-time

Ethnicity

Asian

N

N

N

N

N

N

N

Black

N

N

N

N

N

N

N

Mixed

N

N

N

N

N

N

N

Other

N

N

N

N

N

N

N

White

30

25%

15%

25%

35%

30

50

Unknown

N

N

N

N

N

N

50

EIMD 2019 quintile

1

N

N

N

N

N

N

N

2

N

N

N

N

N

N

N

3

N

N

N

N

N

N

N

4

N

N

N

N

N

N

N

5

N

N

N

N

N

N

N

N/A

N

N

N

N

N

N

N

Unknown

N

N

N

N

N

N

N

Gender

Female

N

N

N

N

N

30

70

Male

30

25%

20%

25%

35%

N

40

Other

N

N

N

N

N

N

N

Apprenticeships

Ethnicity

Asian

N

N

N

N

N

N/A

N

Black

N

N

N

N

N

N/A

N

Mixed

N

N

N

N

N

N/A

N

Other

N

N

N

N

N

N/A

N

White

N

N

N

N

N

N/A

N

Unknown

N

N

N

N

N

N/A

N

EIMD 2019 quintile

1

N

N

N

N

N

N/A

N

2

N

N

N

N

N

N/A

N

3

N

N

N

N

N

N/A

N

4

N

N

N

N

N

N/A

N

5

N

N

N

N

N

N/A

N

N/A

N

N

N

N

N

N/A

N

Unknown

N

N

N

N

N

N/A

N

Gender

Female

N

N

N

N

N

N/A

N

Male

N

N

N

N

N

N/A

N

Other

N

N

N

N

N

N/A

N

Click here for a downloadable .pdf version of this data.